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This study aims to analyze the factors that drive or prevent interorganizational data sharing in the context of digital transformation (DT). Data sharing appears as a precondition for companies to capture emerging opportunities in supply chain management and for product-related servitization; however, there are ongoing concerns, and data are often perceived as the “new oil.” It is thus important to gain a better understanding of the determinants of firms’ decisions.

The authors develop an embedded case study analysis involving 16 firms within an extended supply network in the automotive industry. The authors focus on the peculiarities of the new context, as opposed to elements highlighted by research prior to the advent of the latest technologies. Abductive reasoning is applied to the theoretical foundations of the resource-based view, resource dependence theory and the complex adaptive systems perspective.

Data sharing is largely underpinned by factors identified prior to DT, such as data specificity, dependence dynamics and protection mechanisms and the dynamism of the business context. DT, however, can influence the extent of data sharing. New factors concern complementarities whenever data are pooled from different sources and digital platforms, as well as different forms of data ownership protection.

This study stresses that data sharing in the context of DT can be explained through established theoretical lenses, providing the integration of elements accounting for new technological opportunities.

This study evaluates the performance of green finance and investment scenarios in 15 carbon emitting countries, among which 7 are developed countries and 8 are developing countries. The principal component analysis is applied to form the global green financing (GF) and investment index, a composite indicator for assessing the multidimensional characteristics of GF and investment. The global green finance and investment index is developed to map the country’s overall GF and investing scenario. The indicator is developed on the basis of 30 variables that represent 11 quantitative factors. These factors are aggregated into four parameters: transparency, efficiency, efficacy and resilience. Transparency includes political stability and the development of the countries’ capital markets to adapt to the green transition. Efficiency consists of the performance of existing resources and regulatory conditions of the countries. Efficacy refers to the factors related to international engagement and the growth of specific financial instruments. Lastly, resilience includes factors that promote the adaptability of the countries towards a green economy and green financial system. It contains the regulatory structure of the country’s growth of macroeconomic variables. These variables represent social, economic, environmental and governance factors that influence the countries’ GF and investment scenario. The countries are ranked on the basis of the composite indicator score. The USA scored the highest rank, and India scored the least. In terms of developed countries, the USA has achieved the highest value, followed by Germany and in developing countries, China has scored the highest performance, followed by Mexico.